Data Lineage and Traceability
Track and prove the lineage of all data activities across your Data Lakes
[On Demand Webinar] Operationalise Your Data Governance For Analytics
Businesses today are collecting processing and storing data in unprecedented size and complexity. The regulatory environment has become more complex and onerous, with responsibility for the compliance firmly in the remit of the organization that owns the data. The key business challenge companies face today around Governance and Compliance are as follows:
-
Multiple Metadata Repositories: Enterprises struggle to access valuable metadata and business logic is stuck in the siloes data system.
-
Unauthorised Data Access: Tracking who has requested which data and if they have the authority to access that data is a constant challenge for large organisations.
-
Inability to Prove Data Lineage: Being unable to matching data, data access with a user’s profile makes it extremely difficult to prove to your compliance team that you have adherence to the data policies & procedures
Take advantages of the smarter data
How to deal with the most common data engineering challenges
How could you increase your data governance capabilities with automation?
A single view of meta data
Sync your metadata to your data lake for full visibility.
Built-in Traceability and Lineage
Prebuilt data traceability, tagging and lineage reporting capabilities for data policy adherence
Know who is accessing what data
Visualise who has requested what data
Catalogue Integration
BDM can integrate to your catalogue of choice
End-to-end process visualisation
Full visualisation of all data activities
Track and prove the lineage of all data activities
Captures all the data activities on your data lake and shares that activity with your existing catalogue and lineage solution with Bluemetrix Data Processing Platform: BDM Control and BDM Control Plus.
"Choosing BDM as our core data processing engine has not only increased our data governance and trust capabilities but also reduced data operations costs by 70%."
-Head of Data Engineering, Major European Bank